Machine Learning Engineer AI Assistant + Autonomous AI Agents
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Job Location:
San Francisco, CA - USA
Yearly Salary:
$ 240000 - 300000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 100 enterprise SaaS connectors flexible LLM choice and robust APIs Glean gives organizations the infrastructure to govern scale and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.About the Role:
Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason plan and act to solve complex multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks LLM orchestration low latency LLM inference and optimization domain adapted and memory augmented LLMs reinforcement learning building evaluation frameworks for complex enterprise tasks. We work closely with our customers deeply understand their pain points and use the right mix of research-driven and pragmatic engineering approaches to solve them.
You will:
- Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
- Invent new agentic architectures and signals to improve reasoning planning and personalization in workplace AI assistants
- Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
- Lead development of scalable evaluation benchmarking and optimization loops for agents in production
- Drive technical strategy and mentor other engineers raising the technical bar across the team
- Write robust maintainable and well-tested code that powers enterprise-grade assistants and agents
About you:
- 2 years as a Staff Engineer Principal Engineer or equivalent
- 5 years of industry experience in AI or Machine Learning Engineering
- Experience working with agentic frameworks reinforcement learning natural language processing or other large systems involving machine learning
- Proven ability to design build and ship production-ready systems
- Proficiency in your ML framework of choice
- Strong coding skills (Python Go Java C ...)
- Thrive in a customer-focused tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
- A proactive and positive attitude to lead learn troubleshoot and take ownership of both small tasks and large features
Location:
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $240000 - $300000 annually. Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.
We offer a comprehensive benefits package including competitive compensation Medical Vision and Dental coverage generous time-off policy and the opportunity to contribute to your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
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Required Experience:
Unclear Seniority
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
